Robert J. Ravier

According to our database, Robert J. Ravier authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Constrain, Correspond, Correct: Distributed Game-Theoretic Data Association for Assignment Games on Multimodal Sensing Grids.

Robert J. Ravier, Denis Garagic, Travis Galoppo, Rex Jameson, Bradley J. Rhodes, Peter Zulch

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces.

Robert J. Ravier, Denis Garagic, Travis Galoppo, Jacob Peskoe, Bradley J. Rhodes, Peter Zulch

Proceedings of the 26th International Conference on Information Fusion, 2023

2021

Towards Explainable Convolutional Features for Music Audio Modeling.

Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier, Sayan Mukherjee, Vahid Tarokh

CoRR, 2021

Neural Architecture Search From Fréchet Task Distance.

Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Trevor Standley, Silvio Savarese, Vahid Tarokh

CoRR, 2021

Neural Architecture Search From Task Similarity Measure.

Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh

CoRR, 2021

Task-Aware Neural Architecture Search.

Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Vahid Tarokh

Proceedings of the IEEE International Conference on Acoustics, 2021

Compressing Deep Networks Using Fisher Score of Feature Maps.

Mohammadreza Soltani, Suya Wu, Yuerong Li, Robert J. Ravier, Jie Ding, Vahid Tarokh

Proceedings of the 31st Data Compression Conference, 2021

2020

An Interpretable Baseline for Time Series Classification Without Intensive Learning.

Robert J. Ravier, Mohammadreza Soltani, Miguel Antunes Dias Alfaiate, Denis Garagic, Vahid Tarokh

CoRR, 2020

On the Information of Feature Maps and Pruning of Deep Neural Networks.

Mohammadreza Soltani, Suya Wu, Jie Ding, Robert J. Ravier, Vahid Tarokh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Partial Differential Equations From Data Using Neural Networks.

Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Prediction in Online Convex Optimization for Parametrizable Objective Functions.

Robert J. Ravier, A. Robert Calderbank, Vahid Tarokh

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret.

Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Algorithms with Applications to Anthropology.

Robert J. Ravier

PhD thesis, 2018

Eyes on the Prize: Improved Registration via Forward Propagation.

Robert J. Ravier

CoRR, 2018